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Predictability of drug-induced liver injury by machine learning

Overview of attention for article published in Biology Direct, February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
8 X users

Citations

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32 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Predictability of drug-induced liver injury by machine learning
Published in
Biology Direct, February 2020
DOI 10.1186/s13062-020-0259-4
Pubmed ID
Authors

Marco Chierici, Margherita Francescatto, Nicole Bussola, Giuseppe Jurman, Cesare Furlanello

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Researcher 8 17%
Student > Doctoral Student 5 11%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 4 9%
Unknown 13 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 28%
Medicine and Dentistry 6 13%
Computer Science 4 9%
Chemistry 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 3 6%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2020.
All research outputs
#6,460,475
of 23,192,960 outputs
Outputs from Biology Direct
#231
of 489 outputs
Outputs of similar age
#140,374
of 456,709 outputs
Outputs of similar age from Biology Direct
#2
of 4 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 456,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.